Published October 3, 2023
| Version v1
Software
Open
Wavelet transforms of microlensing data
Authors/Creators
- 1. Department of Physics, Isfahan University of Technology, Isfahan 84156-83111, Iran
- 2. Leiden Observatory, Leiden University, PO Box 9513, NL-2300 RA Leiden, the Netherlands
Description
The codes perform the wavelet denoising process for time-series data. We adjusted the codes for microlensing time-series data, both simulated ones and real events (reported by the OGLE group). The list of the real events as discovered by the OGLE group can be found in realevent.txt (its columns determine the year, and the number of OGLE event).
The code "cwt*.py" plots the 3D wavelet maps for a given time-series data by considering all kinds of continuous wavelets.
Examples of de-noised events are also attached.
Files
bestwave.txt
Files
(1.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:d17f7336ee879ac802ad09fb7af0c10d
|
11.6 kB | Preview Download |
|
md5:41abf80bfed7cc9c56c54fda8f5edf63
|
29.1 kB | Download |
|
md5:0770c1ed15a1a004ca42e11d58413500
|
21.4 kB | Download |
|
md5:b499425591568c9c64e06bf6030e54a1
|
17.2 kB | Download |
|
md5:62762b83d67ad010a7fa5630c7ddbb1f
|
17.0 kB | Download |
|
md5:b8a05be9142f5a1d954be85b121da275
|
5.2 kB | Download |
|
md5:07c5fb91e5022d67c1b89dca01b95729
|
199.6 kB | Preview Download |
|
md5:e1f05a6f71fcdb0f9ed173656e94b7f2
|
257.4 kB | Preview Download |
|
md5:e6c1d1de58a056486cd6a305e51d77fd
|
189.6 kB | Preview Download |
|
md5:536dbc826ba6b54cdad0056cdec0deea
|
187.4 kB | Preview Download |
|
md5:28be45cef20238dc70d3389ffa202650
|
141.8 kB | Preview Download |
|
md5:6506894fef92331bf2d04d1424076c1f
|
1.3 kB | Preview Download |
|
md5:42aee26e05d1c151f46aba96fc40d304
|
12.3 kB | Preview Download |
|
md5:65ce7dea5800ccbc73d87f8e4643b8a4
|
4.5 kB | Download |
